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Laser & Optoelectronics Progress, Volume. 57, Issue 12, 121020(2020)

Dunhuang Mural Inpainting Algorithm Based on Information Entropy and Structural Characteristics

Yong Chen*, Yapeng Ai, and Jin Chen
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    References (20)
    Cited By (5)
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    Figures & Tables(8)
    Schematic of Criminisi algorithm principle

    Fig. 1. Schematic of Criminisi algorithm principle

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    Schematic of difference in block structure to be repaired. (a) Block A to be repaired; (b) block B to be repaired

    Fig. 2. Schematic of difference in block structure to be repaired. (a) Block A to be repaired; (b) block B to be repaired

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    Criminisi algorithm inpainting results. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) partial enlargement image

    Fig. 3. Criminisi algorithm inpainting results. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) partial enlargement image

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    Comparison of inpainting results before and after algorithm improvement. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) proposed algorithm

    Fig. 4. Comparison of inpainting results before and after algorithm improvement. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) proposed algorithm

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    Curves of relationship between weight parameters and average PSNR

    Fig. 5. Curves of relationship between weight parameters and average PSNR

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    Comparison of effects of five algorithms on inpainting artificially broken murals. (a) Original images; (b) artificially adding broken images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm

    Fig. 6. Comparison of effects of five algorithms on inpainting artificially broken murals. (a) Original images; (b) artificially adding broken images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm

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    Comparison of effects of five algorithms on inpainting real damage murals. (a) Original damage murals; (b) adding mask images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm

    Fig. 7. Comparison of effects of five algorithms on inpainting real damage murals. (a) Original damage murals; (b) adding mask images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm

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    • Table 1. Comparison of inpainting results of different algorithms

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      Table 1. Comparison of inpainting results of different algorithms

      ImageCriminisiRef. [12]Ref.[17]Ref.[18]Proposed algorithm
      PSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /s
      134.930.910618936.450.911316736.210.912121436.320.911915437.230.9143136
      239.020.931230141.060.943624241.860.944737941.580.941723643.110.9538228
      331.380.932626933.830.933522533.960.934233134.120.941323934.380.9439183
      432.380.911742033.340.912433133.460.913651333.410.912834835.720.9245275
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    Yong Chen, Yapeng Ai, Jin Chen. Dunhuang Mural Inpainting Algorithm Based on Information Entropy and Structural Characteristics[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121020

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    Paper Information

    Category: Image Processing

    Received: Nov. 15, 2019

    Accepted: Dec. 6, 2019

    Published Online: Jun. 3, 2020

    The Author Email: Chen Yong (edukeylab@126.com)

    DOI:10.3788/LOP57.121020

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology